add content-checks.yml for spelling and link checker

Author: AntoineSoetewey

.github/workflows/content-checks.yml

@@ -0,0 +1,46 @@
+name: Content checks
+
+on:
+  push:
+    branches:
+      - "**"
+  pull_request:
+
+jobs:
+  spell-check:
+    name: Spell check (md/qmd)
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.x"
+
+      - name: Install codespell
+        run: python -m pip install --upgrade pip codespell
+
+      - name: Run codespell on .md and .qmd
+        run: |
+          codespell --quiet-level=2 $(git ls-files '*.md' '*.qmd')
+
+  link-check:
+    name: Link check (md/qmd)
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+
+      - name: Run lychee on .md and .qmd
+        uses: lycheeverse/lychee-action@v1.10.0
+        with:
+          args: >-
+            --no-progress
+            --verbose
+            --accept 200,204,206
+            --exclude-mail
+            $(git ls-files '*.md' '*.qmd')
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

_book/Advanced-Descriptive-Analysis-of-Tabular-Data.epub

@@ -559,7 +559,7 @@ <h2 class="anchored" data-anchor-id="real-world-applications">Real-World Applica
 <li><strong>Social science research</strong>: analyzing survey responses, detecting patterns in observational data</li>
 <li><strong>Data journalism</strong>: investigating patterns in government data, economic indicators, or social trends</li>
 </ul>
-<p>Throughout the book, we implement these methods in R and demonstrate them on real datasets. A recurring example is the <strong>AssociationExplorer</strong> Shiny application, developed as part of the research underlying this work, which integrates multiple descriptive techniques into a unified interactive interface <span class="citation" data-cites="soetewey2026associationexplorer">(<a href="#ref-soetewey2026associationexplorer" role="doc-biblioref">Soetewey et al. 2026</a>)</span>. While all methods can be implemented using standard statistical software, AssociationExplorer provides a practical tool for immediate exploratory use. These examples demonstrate that advanced descriptive methods are not academic exercises, but instead solve genuine problems faced by analysts across diverse fields and showcase original contributions.</p>
+<p>Throughout the book, we implement these methods in R and demonstrate them on real datasets. A recurring example is the <strong>AssociationExplorer</strong> Shiny application, developed as part of the research underlying this work, which integrates multiple descriptive techniques into a unified interactive interface <span class="citation" data-cites="soetewey2026associationexplorer">(<a href="references.html#ref-soetewey2026associationexplorer" role="doc-biblioref">Soetewey et al. 2026</a>)</span>. While all methods can be implemented using standard statistical software, AssociationExplorer provides a practical tool for immediate exploratory use. These examples demonstrate that advanced descriptive methods are not academic exercises, but instead solve genuine problems faced by analysts across diverse fields and showcase original contributions.</p>
 </section>
 <section id="relationship-to-other-analytical-goals" class="level2">
 <h2 class="anchored" data-anchor-id="relationship-to-other-analytical-goals">Relationship to Other Analytical Goals</h2>
@@ -604,7 +604,7 @@ <h2 class="anchored" data-anchor-id="looking-ahead">Looking Ahead</h2>
 <p>Descriptive analysis is both art and science, requiring statistical rigor, visual judgment, and domain knowledge. We hope this book equips you with methods and perspectives that enhance all three.</p>
 
 
-<div id="refs" class="references csl-bib-body hanging-indent" data-entry-spacing="0" role="list">
+<div id="refs" class="references csl-bib-body hanging-indent" data-entry-spacing="0" role="list" style="display: none">
 <div id="ref-soetewey2026associationexplorer" class="csl-entry" role="listitem">
 Soetewey, Antoine, Cédric Heuchenne, Arnaud Claes, and Antonin Descampe. 2026. <span>“AssociationExplorer: A User-Friendly Shiny Application for Exploring Associations and Visual Patterns.”</span> <em>SoftwareX</em> 33: 102483. <a href="https://doi.org/10.1016/j.softx.2025.102483">https://doi.org/10.1016/j.softx.2025.102483</a>.
 </div>